The Experts below are selected from a list of 8406 Experts worldwide ranked by ideXlab platform

Lachun Wang - One of the best experts on this subject based on the ideXlab platform.

  • a multiDimension cloud model based approach for water quality assessment
    Environmental Research, 2016
    Co-Authors: Dong Wang, Debiao Zeng, Vijay P Singh, Dengfeng Liu, Yuankun Wang, Xiankui Zeng, Lachun Wang
    Abstract:

    Lakes are vitally important, because they perform a multitude of functions, such as water supply, recreation, fishing, and habitat. However, eutrophication limits the ability of lakes to perform these functions. In order to reduce eutrophication, the first step is its evaluation. The process of evaluation entails randomness and fuzziness which must therefore be incorporated. This study proposes an eutrophication evaluation method, named MultiDimension Normal Cloud Model (MNCM). The model regards each evaluation factor as a one-Dimension Attribute of MNCM, chooses reasonable parameters and determines the weights of evaluation factors by entropy. Thus, all factors of MNCM belonging to each eutrophication level are generated and the final eutrophication level is determined by the certainty degree. MNCM is then used to evaluate eutrophication of 12 typical lakes and reservoirs in China and its results are compared with those of the reference method, one-Dimension normal cloud model, related weighted nutrition state index method, scoring method, and fuzzy comprehensive evaluation method. Results of MNCM are found to be consistent with the actual water status; hence, MNCM can be an effective evaluation tool. With respect to the former one-Dimension normal cloud model, parameters of MNCM are improved without increasing its complexity. MNCM can directly determine the eutrophication level according to the degree of certainty and can determine the final degree of eutrophication; thus, it is more consistent with the complexity of water eutrophication evaluation.

Mawardi A Asja - One of the best experts on this subject based on the ideXlab platform.

  • analysis of sustainability status of integration of beef cattle and paddy with technology innovation of rice straw as feed and beef cattle manure as fertilizer and biogas
    Environment and Natural Resources Journal, 2013
    Co-Authors: Jasmal A Syamsu, Hikmah M Ali, Muhammad Ridwan, Mawardi A Asja
    Abstract:

    The objective of this study was to analyze sustainability indexes and status on the integration between beef cattle and paddy with technological innovation of rice straw as feed, cow manure as fertilizer and biogas. Primary data were obtained through interviews with the farmers with the help of a questionnaire. The farmers were randomly selected as samples, and also involved experts/practitioners as respondents who have related expertise, reputation and/or experience with the present study. In addition focus group discussions were conducted with the farmers, in order to identify the actual problems and conditions that usually occur in development of the integration between beef cattle and paddy. Furthermore, in depth interviews were performed with the key informants. The method to analyze sustainability status was a modification of Rapfish by using Multi-Dimensional Scaling (MDS).This method is named, RAP-Intrasadi (Rapid Appraisal Integration Beef cattle and Paddy). The results of this study showed that the sustainability status has multiDimensional index values of sustainability. Integration produced beef cattle and rice with technological innovation, rice straw as feed processing, livestock manure as fertilizer and biogas was implemented by farmers in rural farmers, and produced an index value of 46.12 (less sustainable). To improve the sustainability status, it must be repaired to the sensitive Attribute in each Dimension. Ecological Dimension Attribute a) potential and carrying capacity of livestock waste, b) potential and carrying capacity of rice straw, and c) management of farm cattle farming. Attributes that need improvement for the economic Dimension were contribution of livestock waste biogas to fuel costs, the number and ownership of paddy fields, and the number and ownership of cattle.Atributes of social Dimension were level of willingness and motivation to utilize rice straw, understanding the impact of waste on the environment, and the integration of related experience of beef cattle and rice. While technological Dimension were biogas processing facilities and infrastructure,

Dong Wang - One of the best experts on this subject based on the ideXlab platform.

  • a multiDimension cloud model based approach for water quality assessment
    Environmental Research, 2016
    Co-Authors: Dong Wang, Debiao Zeng, Vijay P Singh, Dengfeng Liu, Yuankun Wang, Xiankui Zeng, Lachun Wang
    Abstract:

    Lakes are vitally important, because they perform a multitude of functions, such as water supply, recreation, fishing, and habitat. However, eutrophication limits the ability of lakes to perform these functions. In order to reduce eutrophication, the first step is its evaluation. The process of evaluation entails randomness and fuzziness which must therefore be incorporated. This study proposes an eutrophication evaluation method, named MultiDimension Normal Cloud Model (MNCM). The model regards each evaluation factor as a one-Dimension Attribute of MNCM, chooses reasonable parameters and determines the weights of evaluation factors by entropy. Thus, all factors of MNCM belonging to each eutrophication level are generated and the final eutrophication level is determined by the certainty degree. MNCM is then used to evaluate eutrophication of 12 typical lakes and reservoirs in China and its results are compared with those of the reference method, one-Dimension normal cloud model, related weighted nutrition state index method, scoring method, and fuzzy comprehensive evaluation method. Results of MNCM are found to be consistent with the actual water status; hence, MNCM can be an effective evaluation tool. With respect to the former one-Dimension normal cloud model, parameters of MNCM are improved without increasing its complexity. MNCM can directly determine the eutrophication level according to the degree of certainty and can determine the final degree of eutrophication; thus, it is more consistent with the complexity of water eutrophication evaluation.

Jasmal A Syamsu - One of the best experts on this subject based on the ideXlab platform.

  • analysis of sustainability status of integration of beef cattle and paddy with technology innovation of rice straw as feed and beef cattle manure as fertilizer and biogas
    Environment and Natural Resources Journal, 2013
    Co-Authors: Jasmal A Syamsu, Hikmah M Ali, Muhammad Ridwan, Mawardi A Asja
    Abstract:

    The objective of this study was to analyze sustainability indexes and status on the integration between beef cattle and paddy with technological innovation of rice straw as feed, cow manure as fertilizer and biogas. Primary data were obtained through interviews with the farmers with the help of a questionnaire. The farmers were randomly selected as samples, and also involved experts/practitioners as respondents who have related expertise, reputation and/or experience with the present study. In addition focus group discussions were conducted with the farmers, in order to identify the actual problems and conditions that usually occur in development of the integration between beef cattle and paddy. Furthermore, in depth interviews were performed with the key informants. The method to analyze sustainability status was a modification of Rapfish by using Multi-Dimensional Scaling (MDS).This method is named, RAP-Intrasadi (Rapid Appraisal Integration Beef cattle and Paddy). The results of this study showed that the sustainability status has multiDimensional index values of sustainability. Integration produced beef cattle and rice with technological innovation, rice straw as feed processing, livestock manure as fertilizer and biogas was implemented by farmers in rural farmers, and produced an index value of 46.12 (less sustainable). To improve the sustainability status, it must be repaired to the sensitive Attribute in each Dimension. Ecological Dimension Attribute a) potential and carrying capacity of livestock waste, b) potential and carrying capacity of rice straw, and c) management of farm cattle farming. Attributes that need improvement for the economic Dimension were contribution of livestock waste biogas to fuel costs, the number and ownership of paddy fields, and the number and ownership of cattle.Atributes of social Dimension were level of willingness and motivation to utilize rice straw, understanding the impact of waste on the environment, and the integration of related experience of beef cattle and rice. While technological Dimension were biogas processing facilities and infrastructure,

Zhibin Zhang - One of the best experts on this subject based on the ideXlab platform.

  • multi label algorithm based on rough set of fractal Dimension Attribute
    The Journal of Supercomputing, 2020
    Co-Authors: Zhibin Zhang
    Abstract:

    To make fractal endpoint detection algorithm, to maintain good performance and to deal with noise with higher irregularity than speech, fractal endpoint detection algorithm based on frequency domain was proposed in the paper. The frequency domain represented energy distribution and signal, and the speech harmonic component had very strong periodicity and regularity in the frequency domain. Thus, method of extracting fractal Dimension after converting to short-time frequency domain had better robustness. Analysis means were introduced based on short-time frequency domain fractal against the existing fractal algorithm. Its stability was due to the frequency domain represented frequency domain energy distribution of signal and the speech signal energy mainly focused on harmonic. Thus, solving fractal Dimension in short-time frequency domain could weaken the impact of different types of noises. Compared with time-domain fractal, the threshold value of short-time frequency domain fractal was more stable and the judgment criterion direction was fixed, smaller than the represented speech fragment of threshold value. Frequency domain was used for representing the signal energy distribution characteristics and the strong periodicity and regularity of speech harmonic component so as to extract fractal Dimension and distinguish speech and noise. Thus, the fractal Dimension extraction method after converting to short-time frequency domain proposed in the paper had better robustness. Not only is it applicable to irregular white noise, but also applicable to noises with stronger time-domain periodicity and regularity including tank noise.